{"id":199563,"date":"2008-02-22T18:58:29","date_gmt":"2008-02-22T18:58:29","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/research-labs\/microsoft-research-new-england\/"},"modified":"2025-09-02T17:58:31","modified_gmt":"2025-09-03T00:58:31","slug":"microsoft-research-new-england","status":"publish","type":"msr-research-lab","link":"https:\/\/www.microsoft.com\/en-us\/research\/lab\/microsoft-research-new-england\/","title":{"rendered":"Microsoft Research Lab &#8211; New England"},"content":{"rendered":"<section class=\"mb-3 moray-highlight\">\n\t<div class=\"card-img-overlay mx-lg-0\">\n\t\t<div class=\"card-background  has-background- card-background--full-bleed\">\n\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"2000\" height=\"750\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/01\/New-England-lab_header_1920x720.jpg\" class=\"attachment-full size-full\" alt=\"Microsoft Research New England Lab - Cambridge Massachusetts\" style=\"\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/01\/New-England-lab_header_1920x720.jpg 2000w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/01\/New-England-lab_header_1920x720-300x113.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/01\/New-England-lab_header_1920x720-1024x384.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/01\/New-England-lab_header_1920x720-768x288.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/01\/New-England-lab_header_1920x720-1536x576.jpg 1536w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/01\/New-England-lab_header_1920x720-1920x720.jpg 1920w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/01\/New-England-lab_header_1920x720-1600x600.jpg 1600w\" sizes=\"auto, (max-width: 2000px) 100vw, 2000px\" \/>\t\t<\/div>\n\t\t<!-- Foreground -->\n\t\t<div class=\"card-foreground d-flex mt-md-n5 my-lg-5 px-g px-lg-0\">\n\t\t\t<!-- Container -->\n\t\t\t<div class=\"container d-flex mt-md-n5 my-lg-5 \">\n\t\t\t\t<!-- Card wrapper -->\n\t\t\t\t<div class=\"w-100 w-lg-col-5\">\n\t\t\t\t\t<!-- Card -->\n\t\t\t\t\t<div class=\"card material-md-card py-5 px-md-5\">\n\t\t\t\t\t\t<div class=\"card-body \">\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\n<h1 class=\"wp-block-heading h2\" id=\"microsoft-research-lab-new-england\">Microsoft Research Lab &#8211; New England<\/h1>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n<p class=\"has-text-align-left\">Microsoft Research New England (MSR-NE) was founded in July 2008 in Cambridge, Massachusetts. The New England lab builds on Microsoft&#8217;s commitment to collaborate with the broader research community and&nbsp;pursues new, interdisciplinary areas of research that bring together core computer scientists and social scientists to understand, model, and enable computing and online experiences of the future.<\/p>\n\n\n\n<p>As part of the company\u2019s open research environment, MSR-NE supports the academic tradition of hosting colloquia, seminar series, and special events that contribute to the intellectual commons. Hundreds from the local academic community have joined to speak at or attend these events, and the lab had more than 350 academic visitors this past year, many of whom have engaged deeply with other Microsoft Research researchers and with our product groups.<\/p>\n\n\n\n<p>The lab supports a core team of established researchers, as well as a large group of postdocs, interns and distinguished visiting faculty members.<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\" id=\"transforming-the-world-through-deep-research\">Transforming the world through deep research<\/h2>\n\n\n\n<p class=\"has-text-align-center\">Please see below for information about our Lab themes. Click on each to explore more about the people, research and impact.<\/p>\n\n\n<div class=\"wp-block-msr-thumbnails-grid wp-block-msr-thumbnails-grid--columns-4\">\n\n\t<ul class=\"thumbnails-grid__list list-unstyled row row-cols-1 row-cols-sm-2 row-cols-lg-4\">\n\t\t\t\t\t\t\t\t<li class=\"thumbnails-grid__list-item col m-0\">\n\t\t\t\t<article class=\"thumbnails-grid__item bg-brand-dark\">\n\t\t\t\t\t<div class=\"thumbnails-grid__item-image\">\n\t\t\t\t\t\t<div class=\"embed-responsive embed-responsive-16by9 bg-black\">\n\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"577\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1400x788_BioML_Icon_dark_colorset-1024x577.jpg\" class=\"embed-responsive-item img-object-contain\" alt=\"Biomedical ML icon\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1400x788_BioML_Icon_dark_colorset-1024x577.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1400x788_BioML_Icon_dark_colorset-300x169.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1400x788_BioML_Icon_dark_colorset-768x432.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1400x788_BioML_Icon_dark_colorset-1536x865.jpg 1536w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1400x788_BioML_Icon_dark_colorset-2048x1153.jpg 2048w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1400x788_BioML_Icon_dark_colorset-16x9.jpg 16w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1400x788_BioML_Icon_dark_colorset-1066x600.jpg 1066w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1400x788_BioML_Icon_dark_colorset-655x368.jpg 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1400x788_BioML_Icon_dark_colorset-343x193.jpg 343w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1400x788_BioML_Icon_dark_colorset-640x360.jpg 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1400x788_BioML_Icon_dark_colorset-960x540.jpg 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1400x788_BioML_Icon_dark_colorset-1280x720.jpg 1280w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/11\/1400x788_BioML_Icon_dark_colorset-1920x1080.jpg 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"thumbnails-grid__item-content\">\n\t\t\t\t\t\t<h3 class=\"thumbnails-grid__item-heading\">\n\t\t\t\t\t\t\t<a class=\"thumbnails-grid__item-link text-white\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/theme\/biomedical-ml\/\">\n\t\t\t\t\t\t\t\t<span>Biomedical ML<\/span>&nbsp;<span class=\"glyph-prepend glyph-prepend-small glyph-prepend-chevron-right\" aria-hidden=\"true\"><\/span>\n\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t<\/h3>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/article>\n\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"thumbnails-grid__list-item col m-0\">\n\t\t\t\t<article class=\"thumbnails-grid__item bg-brand-dark\">\n\t\t\t\t\t<div class=\"thumbnails-grid__item-image\">\n\t\t\t\t\t\t<div class=\"embed-responsive embed-responsive-16by9 bg-black\">\n\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_EconComp_12_2019_1400x788-1024x576.png\" class=\"embed-responsive-item img-object-contain\" alt=\"Theme: Economic Computation\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_EconComp_12_2019_1400x788-1024x576.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_EconComp_12_2019_1400x788-300x169.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_EconComp_12_2019_1400x788-768x432.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_EconComp_12_2019_1400x788-1536x865.png 1536w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_EconComp_12_2019_1400x788-2048x1153.png 2048w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_EconComp_12_2019_1400x788-1066x600.png 1066w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_EconComp_12_2019_1400x788-655x368.png 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_EconComp_12_2019_1400x788-343x193.png 343w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_EconComp_12_2019_1400x788-640x360.png 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_EconComp_12_2019_1400x788-960x540.png 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_EconComp_12_2019_1400x788-1280x720.png 1280w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_EconComp_12_2019_1400x788-1920x1080.png 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"thumbnails-grid__item-content\">\n\t\t\t\t\t\t<h3 class=\"thumbnails-grid__item-heading\">\n\t\t\t\t\t\t\t<a class=\"thumbnails-grid__item-link text-white\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/theme\/economics-and-computation\/\">\n\t\t\t\t\t\t\t\t<span>Economics and Computation<\/span>&nbsp;<span class=\"glyph-prepend glyph-prepend-small glyph-prepend-chevron-right\" aria-hidden=\"true\"><\/span>\n\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t<\/h3>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/article>\n\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"thumbnails-grid__list-item col m-0\">\n\t\t\t\t<article class=\"thumbnails-grid__item bg-brand-dark\">\n\t\t\t\t\t<div class=\"thumbnails-grid__item-image\">\n\t\t\t\t\t\t<div class=\"embed-responsive embed-responsive-16by9 bg-black\">\n\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_MLStats_12_2019_1400x788-1024x576.png\" class=\"embed-responsive-item img-object-contain\" alt=\"Theme: Machine Learning and Stats\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_MLStats_12_2019_1400x788-1024x576.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_MLStats_12_2019_1400x788-300x169.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_MLStats_12_2019_1400x788-768x432.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_MLStats_12_2019_1400x788-1536x865.png 1536w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_MLStats_12_2019_1400x788-2048x1153.png 2048w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_MLStats_12_2019_1400x788-1066x600.png 1066w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_MLStats_12_2019_1400x788-655x368.png 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_MLStats_12_2019_1400x788-343x193.png 343w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_MLStats_12_2019_1400x788-640x360.png 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_MLStats_12_2019_1400x788-960x540.png 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_MLStats_12_2019_1400x788-1280x720.png 1280w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2012\/12\/Theme_ltblue_MLStats_12_2019_1400x788-1920x1080.png 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"thumbnails-grid__item-content\">\n\t\t\t\t\t\t<h3 class=\"thumbnails-grid__item-heading\">\n\t\t\t\t\t\t\t<a class=\"thumbnails-grid__item-link text-white\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/theme\/machine-learning-statistics\/\">\n\t\t\t\t\t\t\t\t<span>Machine Learning and Statistics<\/span>&nbsp;<span class=\"glyph-prepend glyph-prepend-small glyph-prepend-chevron-right\" aria-hidden=\"true\"><\/span>\n\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t<\/h3>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/article>\n\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"thumbnails-grid__list-item col m-0\">\n\t\t\t\t<article class=\"thumbnails-grid__item bg-brand-dark\">\n\t\t\t\t\t<div class=\"thumbnails-grid__item-image\">\n\t\t\t\t\t\t<div class=\"embed-responsive embed-responsive-16by9 bg-black\">\n\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/12\/Theme_navy_SMS_12_2019_1400x788-1024x576.png\" class=\"embed-responsive-item img-object-contain\" alt=\"Theme: Social Media Services\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/12\/Theme_navy_SMS_12_2019_1400x788-1024x576.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/12\/Theme_navy_SMS_12_2019_1400x788-300x169.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/12\/Theme_navy_SMS_12_2019_1400x788-768x432.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/12\/Theme_navy_SMS_12_2019_1400x788-1536x865.png 1536w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/12\/Theme_navy_SMS_12_2019_1400x788-2048x1153.png 2048w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/12\/Theme_navy_SMS_12_2019_1400x788-1066x600.png 1066w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/12\/Theme_navy_SMS_12_2019_1400x788-655x368.png 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/12\/Theme_navy_SMS_12_2019_1400x788-343x193.png 343w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/12\/Theme_navy_SMS_12_2019_1400x788-640x360.png 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/12\/Theme_navy_SMS_12_2019_1400x788-960x540.png 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/12\/Theme_navy_SMS_12_2019_1400x788-1280x720.png 1280w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/12\/Theme_navy_SMS_12_2019_1400x788-1920x1080.png 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"thumbnails-grid__item-content\">\n\t\t\t\t\t\t<h3 class=\"thumbnails-grid__item-heading\">\n\t\t\t\t\t\t\t<a class=\"thumbnails-grid__item-link text-white\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/theme\/sociotechnical-systems\/\">\n\t\t\t\t\t\t\t\t<span>Sociotechnical Systems<\/span>&nbsp;<span class=\"glyph-prepend glyph-prepend-small glyph-prepend-chevron-right\" aria-hidden=\"true\"><\/span>\n\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t<\/h3>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/article>\n\t\t\t<\/li>\n\t\t\t<\/ul>\n\n<\/div>\n\n\n\n\n\n\n\n<h2 class=\"wp-block-heading\" id=\"about-our-internships\">About our internships<\/h2>\n\n\n\n<figure class=\"wp-block-image alignright size-medium\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"224\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/02\/Interns-2-e1545338557459-300x224.jpg\" alt=\"Microsoft Research New England internships - a group of people posing for a photo\" class=\"wp-image-554745\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/02\/Interns-2-e1545338557459-300x224.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/02\/Interns-2-e1545338557459-768x573.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/02\/Interns-2-e1545338557459-1024x763.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/02\/Interns-2-e1545338557459-80x60.jpg 80w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/02\/Interns-2-e1545338557459-240x180.jpg 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/02\/Interns-2-e1545338557459.jpg 1556w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<p>Microsoft Research New England consists of thirty-five full-time researchers and postdocs working in machine learning, statistics, computational biology, theoretical computer science, algorithmic game theory, economics, social media, cryptography, and mathematics. Highly collaborative and interdisciplinary in nature, MSR-NE is actively engaged with the local academic and tech communities.<\/p>\n\n\n\n<p>Microsoft Research New England is actively seeking research interns across a range of research areas. MSR New England is an exciting, interdisciplinary environment in which researchers have the freedom to explore their scholarly interests with access to an extraordinary diversity of big and small data sources, an open publication policy, and close links to academic institutions. Interns are hired for twelve weeks and receive a competitive salary and benefits package. Most internships take place over the summer, but other time periods are possible.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"intern-experience\">Intern experience<\/h2>\n\n\n\n<figure class=\"wp-block-image alignright size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/02\/Intern-Collage-1-1024x683.jpg\" alt=\"Susann Uplegger, Nancy Baym posing for a photo\" class=\"wp-image-554748\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/02\/Intern-Collage-1-1024x683.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/02\/Intern-Collage-1-300x200.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/02\/Intern-Collage-1-768x512.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/02\/Intern-Collage-1.jpg 1800w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><em>&#8220;My&nbsp;Summer internship at Microsoft was one of the best summers I\u2019ve ever had! I enjoyed the friendly environment, the meaningful and socially important projects, and my always happy to help mentors.&#8221;<\/em> &#8211; Alexey Romanov<\/p>\n\n\n\n<p><em>&#8220;The MSRNE Internship was one of the highlights of my academic career. The internship provided me with the freedom to lead a new research project that I was passionate about, while also providing the structure and mentorship to take my research in new directions.&#8221; <\/em>&#8211; Michaelanne Dye<\/p>\n\n\n\n<p><em>&#8220;I felt supported by the process at Microsoft Research, to take on what may seem intimidating, especially for social science and humanities students: tackling a research project in 12 short weeks. The internship was an invaluable experience for my intellectual and professional development.&#8221;<\/em> &#8211; Penny Trieu<\/p>\n\n\n\n<p><em>&#8220;Henry [Cohn] was an exceptional mentor; besides all the math I learned from him, during my time in the lab I could witness how passionate and original he is with his work, both qualities that I aspire to keep for my own research career. I am very thankful I had the privilege to meet so many smart and kind people during my internship.&#8221;<\/em> &#8211; Kim Villalobos Carballo<\/p>\n\n\n\n\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/new-england-machine-learning-day-2019\/\">Machine Learning Day 2019<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;May 10, 2019 <\/p>\n\n\n\n<p>The eighth annual New England Machine Learning Day was held on Friday, May 10, 2019, at Northeastern University, in Boston, Massachusetts. The event brought together local academics and researchers in Machine Learning, Artificial Intelligence, and their applications. <\/p>\n\n\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/msrne-10th-anniversary-symposium\/\">Microsoft Research New England 10th Anniversary Symposium<\/a> <\/p>\n\n\n\n<p>Microsoft New England Research and Development Center, Cambridge, MA | October 11, 2018 <\/p>\n\n\n\n<p>Since its founding in 2008, the New England lab builds on Microsoft\u2019s commitment to collaborate with the broader research community and pursues new, interdisciplinary areas of research that bring together core computer scientists and social scientists to understand, model, and enable computing and online experiences of the future. To mark the 10th anniversary of Microsoft Research New England, a one-day symposium was held, which comprised of themed panels focused on mathematics and theory, economics, big data and machine learning, fairness, and social platforms. During this event, we welcomed researchers, faculty, and students from the academic community to discuss the future and advancing the state of the art.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/charles-river-lecture-series\/\">2018 Charles River Lectures on Probability Theory and Related Topics<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA | October 12, 2018 <\/p>\n\n\n\n<p>Jointly organized by Harvard University, Massachusetts Institute of Technology, and Microsoft Research New England, the Charles River Lectures on Probability and Related Topics is a one-day event for the benefit of the greater Boston area mathematics community.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/new-england-machine-learning-day-2018\/\">Machine Learning Day 2018<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;May 07, 2018 <\/p>\n\n\n\n<p>The seventh annual New England Machine Learning Day was held on Monday, May 07, 2018, at Microsoft Research New England, in Cambridge, Massachusetts. The event brought together local academics and researchers in Machine Learning, Artificial Intelligence, and their applications. <\/p>\n\n\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/match-up-2017\/\">MATCH-UP 2017<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;April 20-21, 2017 <\/p>\n\n\n\n<p>MATCH-UP 2017 was the fourth workshop in an <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/www.optimalmatching.com\/MATCHUP\/\">interdisciplinary and international workshop series<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> on matching under preferences. Matching problems with preferences occur in widespread applications such as the assignment of school-leavers to universities, junior doctors to hospitals, students to campus housing, children to schools, kidney transplant patients to donors and so on. The common thread is that individuals have preference lists over the possible outcomes and the task is to find a matching of the participants that is in some sense optimal with respect to these preferences. The remit of the workshop is to explore matching problems with preferences from the perspective of algorithms and complexity, discrete mathematics, combinatorial optimization, game theory, mechanism design and economics, and thus a key objective is to bring together the research communities of the related areas.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/new-england-machine-learning-day-2017\/\">Machine Learning Day 2017<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;May 12, 2017 <\/p>\n\n\n\n<p>The sixth annual New England Machine Learning Day was held on&nbsp;Friday, May 12, 2017, at Microsoft Research New England, in Cambridge, Massachusetts. The event brought together local academics and researchers in Machine Learning, Artificial Intelligence, and their applications.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/cabi-2017\/\">Computational Aspects of Biological Information 2017<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;October 13, 2017 <\/p>\n\n\n\n<p>Computational Aspects of Biological Information (CABI) 2017 was the fifth one-day workshop on challenges and successes in computational biology and brought together experts in the Boston\/Cambridge area to discuss computational solutions to problems in biology, including systems biology, genomics, and related areas. <\/p>\n\n\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/computational-aspects-biological-information-2016\/\">Computational Aspects of Biological Information 2016<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;November 2016 <\/p>\n\n\n\n<p>Computational Aspects of Biological Information (CABI) 2016 was the fourth one-day workshop on challenges and successes in computational biology and brought together experts in the Boston\/Cambridge area to discuss computational solutions to problems in biology, including systems biology, genomics, and related areas.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/workshop-local-algorithms\/\">Workshop on Local Algorithms<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England and MIT, Cambridge, MA |&nbsp;October 2016 <\/p>\n\n\n\n<p>The Workshop on Local Algorithms (WoLA)&nbsp;was the first in its series, and&nbsp;featured longer talks that, in part, survey approaches by various communities, as well as short, focused talks on recent, exciting results.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/new-england-machine-learning-day-2016\/\">New England Machine Learning Day 2016<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;May 2016 <\/p>\n\n\n\n<p>The fifth annual New England Machine Learning Day was held on Friday, May 6th, 2016, at Microsoft Research New England. The event brought together local academics and researchers in machine learning and its applications. <\/p>\n\n\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/computational-aspects-biological-information-2015\/\">Computational Aspects of Biological Information 2015<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;December 2015 <\/p>\n\n\n\n<p>Computational Aspects of Biological Information (CABI) 2015 was the third one-day workshop on challenges and successes in computational biology and brought together experts in the Boston\/Cambridge area to discuss computational solutions to problems in biology, including systems biology, genomics, and related areas. <\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/2015-charles-river-lectures-probability-theory-related-topics\/\">2015 Charles River Lectures on Probability Theory and Related Topics<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;October 2015 <\/p>\n\n\n\n<p>Jointly organized by Harvard University, Massachusetts Institute of Technology, and Microsoft Research New England, the Charles River Lectures on Probability and Related Topics is a one-day event for the benefit of the greater Boston area mathematics community.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/designing-digital-economy\/\">Designing the Digital Economy<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;October 2015 <\/p>\n\n\n\n<p>Designing the Digital Economy (DDE) is a day-and-a-half long conference bringing leading economists to Microsoft Research New England\u2019s interdisciplinary economics research environment to discuss the new market designs technology is enabling.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/mit-msr-machine-learning-seminar\/\">MIT-MSR Machine Learning Seminar<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;October 2015 <\/p>\n\n\n\n<p>The MIT-MSR ML Seminar is a seminar series highlighting recent advances in Machine Learning that meets roughly once per month. Local and visiting researchers will speak about their work. The agenda typically consists of a prepared presentation, followed by a period of questions and discussion. The seminar is aimed at an audience of machine learning researchers and graduate students.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/new-england-machine-learning-day-2015\/\">New England Machine Learning Day 2015<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;May 2015 <\/p>\n\n\n\n<p>The fourth annual New England Machine Learning Day was held on Monday, May 18th, 2015, at Microsoft Research New England. The event brought together local academics and researchers in machine learning and its applications. <\/p>\n\n\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/computational-biology-seminar-series\/\">Computational Biology Seminar Series<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;June 2014 <\/p>\n\n\n\n<p>An occasional forum for delivering academic computational biology talks. All talks are open to the public. <\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/lampsonfest\/\">LampsonFest<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;February 2014 <\/p>\n\n\n\n<p>On February 13, 2014, we celebrated Butler Lampson\u2019s 70 years with a day of exciting talks revisiting the history of computer systems and talking about issues of current concern. Butler spent many years, at Xerox PARC, at DEC, and now at Microsoft, transforming computer systems. His vision led to the first personal computer, to Internet protocols, to modern text processing systems and much more. He has won numerous awards for his work including the Turing Award in 1992. <\/p>\n\n\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/computational-aspects-biological-information-2013\/\">Computational Aspects of Biological Information 2013<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;December 2013 <\/p>\n\n\n\n<p>Computational Aspects of Biological Information (CABI) 2013 is a one day workshop on challenges in computational biology. CABI 2013 will be held at Microsoft Research New England on December 16, 2013 and will bring together experts in the Boston\/Cambridge area to discuss computational solutions to problems in systems biology, genomics, and related areas. <\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/msrne-5th-anniversary-symposium-2\/\">MSRNE 5th Anniversary Symposium<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;October 2013 <\/p>\n\n\n\n<p>Since its founding in 2008, Microsoft Research New England has pursued new, interdisciplinary areas of research that bring together traditional mathematical sciences, such as theoretical computer science, machine learning, physics, and mathematics itself, with other sciences, including social sciences such as empirical economics, sociology, and psychology, and the biological and biomedical sciences. <\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/new-england-machine-learning-day-2013\/\">New England Machine Learning Day 2013<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;May 2013 <\/p>\n\n\n\n<p>The second New England Machine Learning Day was held May 1st, 2013, at Microsoft Research New England. The event&nbsp;brought together local academics and researchers in machine learning and its applications. <\/p>\n\n\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/charles-river-lectures-probability-related-topics\/\">Charles River Lectures on Probability and Related Topics<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA | October 2012 <\/p>\n\n\n\n<p>Jointly organized by Harvard University, Massachusetts Institute of Technology, and Microsoft Research New England, the Charles River Lectures on Probability and Related Topics, is a one-day event for the benefit of the greater Boston area mathematics community. <\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/predicting-understanding-2012-election\/\">Predicting and Understanding the 2012 Election<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;October 2012 <\/p>\n\n\n\n<p>A academic lectures of broad interest, in which David Rothschild discusses that for over 75 years, forecasting of elections has been static; ask a random sample of representative group of voters who they would vote for if the election were held today and report the poll result? <\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/new-england-machine-learning-day-2012\/\">New England Machine Learning Day 2012<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA | May 2012 <\/p>\n\n\n\n<p>The first New England Machine Learning Day was held May 16, 2012, at Microsoft Research New England. The event brought together local academics and researchers in machine learning and its applications. <\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/orcid-outreach-meeting-may-2012\/\">ORCID Outreach Meeting May 2012<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;May 2012 <\/p>\n\n\n\n<p>Name ambiquity and attrition are persistent, critical problems embedded in the scholarly research ecosystem. The Open Researcher & Contributor ID (ORCID) initiative represents a community effort to establish an open, independent registry that is adopted and embraced as the industry\u2019s de facto standard. <\/p>\n\n\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/soc-digital-mixer\/\">Soc.Digital Mixer<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA | May 2011 <\/p>\n\n\n\n<p>The Soc.Digital Mixer aims to connect scholars researching digital media communication and information technologies, particularly those studying social media from a qualitative perspective. <\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/soc-digital-grad-student-meetup\/\">Soc.Digital Grad Student Meetup<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA | May 2011 <\/p>\n\n\n\n<p>Microsoft Research New England\u2019s Social Media Research Collective cordially invites digital media students in town for the International Communication Association Meetings to join us for an informal evening of conversation and collaboration. <\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/hot-apps-queering-locationmobilizing-media-design\/\">Hot Apps: Queering Location\/Mobilizing Media Design<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA | April 2011 <\/p>\n\n\n\n<p>A Workshop Sponsored by the Social Media Collective @ Microsoft Research New England organized to think about what it means to \u201cqueer\u201d the spatial and technological assumptions embedded in the industry shift toward mobile digital networks. <\/p>\n\n\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/computational-aspects-biological-information-2010\/\">Computational Aspects of Biological Information 2010<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA | December 2010 <\/p>\n\n\n\n<p>Computational Aspects of Biological Information (C.A.B.I. 2010) is a one-day workshop on challenges in computational biology. C.A.B.I. 2010 will be held at Microsoft Research New England on December 9, 2010 and will&nbsp;bring together experts in the Boston\/Cambridge area to discuss computational and modeling challenges in biology with a focus on systems biology, phylogeny and neuroscience. The workshop is open to everyone, and registration is free of charge. <\/p>\n\n\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-research-new-england-opening\/\">Microsoft Research New England Opening<\/a> <\/p>\n\n\n\n<p>Microsoft Research New England, Cambridge, MA |&nbsp;September 2008 <\/p>\n\n\n\n<p>Microsoft Research New England is Microsoft\u2019s sixth basic research lab worldwide, pursues interdisciplinary collaborations between core computer scientists and social scientists to explore how computing and online experiences will evolve. The lab\u2019s opening symposium, held September 22, 2008, inaugurated a long-term partnership with institutions in a uniquely dynamic research environment <\/p>\n\n\n\n\n\n\n<footer class=\"single-lab__footer bg-gray-100 py-4 py-md-5\">\n\t<div class=\"container\">\n\t\t<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:50%\">\n<h3 class=\"wp-block-heading\" id=\"leadership\">Leadership<\/h3>\n\n\n\n<div class=\"single-lab__block-footer-section\">\n\t<ul class=\"m-0 list-unstyled\">\n\t\t\t\t\t\t\t\t<li class=\"mb-0\">\n\t\t\t\t<div class=\"single-lab__footer-leader d-flex mb-2\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"single-lab__footer-leader-avatar\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lilich\/\">\n\t\t\t\t\t\t\t\t\t<div class=\"embed-responsive embed-responsive-1by1 rounded-circle\">\n\t\t\t\t\t\t\t\t\t\t<img alt='Portrait of Lili Cheng' src='\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/09\/avatar_user_32682_1505425090-180x180.jpg' srcset='\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/09\/avatar_user_32682_1505425090-360x360.jpg 2x' class='avatar avatar-180 photo avatar m-0 img-object-cover embed-responsive-item' height='180' width='180' \/>\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<div class=\"single-lab__footer-leader-info\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/lilich\/\">\n\t\t\t\t\t\t\t\tLili Cheng\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<p>Corporate Vice President and Managing Director, Microsoft Research Americas<\/p>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/li>\n\t\t\t<\/ul>\n<\/div>\n<\/div>\n\n\n\n<div 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style=\"text-align: center\">About<\/h2>\r\n<h4 style=\"text-align: center\">Microsoft Research New England consists of thirty-five full-time researchers and postdocs working in machine learning, statistics, computational biology, theoretical computer science, algorithmic game theory, economics, social media, cryptography, and mathematics. Highly collaborative and interdisciplinary in nature, MSR-NE is actively engaged with the local academic and tech communities.<\/h4>\r\n&nbsp;\r\n\r\n<hr \/>\r\n\r\n&nbsp;\r\n<h2 style=\"text-align: center\">Internship Overview<\/h2>\r\n<p style=\"text-align: center\">Microsoft Research New England is actively seeking research interns across a range of research areas. MSR New England is an exciting, interdisciplinary environment in which researchers have the freedom to explore their scholarly interests with access to an extraordinary diversity of big and small data sources, an open publication policy, and close links to academic institutions. Interns are hired for twelve weeks and receive a competitive salary and benefits package. Most internships take place over the summer, but other time periods are possible.<\/p>\r\n<img class=\"aligncenter wp-image-554745 size-large\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/02\/Interns-2-e1545338557459-1024x763.jpg\" alt=\"\" width=\"1024\" height=\"763\" \/>\r\n\r\n&nbsp;\r\n\r\n<hr \/>\r\n\r\n&nbsp;\r\n<h2 style=\"text-align: center\">Intern Experience<\/h2>\r\n<img class=\"aligncenter wp-image-554748 size-large\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/02\/Intern-Collage-1-1024x683.jpg\" alt=\"\" width=\"1024\" height=\"683\" \/>\r\n<h3><em>\"My\u00a0Summer internship at Microsoft was one of the best summers I\u2019ve ever had! I enjoyed the friendly environment, the meaningful and socially important projects, and my always happy to help mentors.\"<\/em> - Alexey Romanov<\/h3>\r\n<h3><em>\"The MSRNE Internship was one of the highlights of my academic career. The internship provided me with the freedom to lead a new research project that I was passionate about, while also providing the structure and mentorship to take my research in new directions.\" <\/em>- Michaelanne Dye<\/h3>\r\n<h3><\/h3>\r\n<h3><em>\"I felt supported by the process at Microsoft Research, to take on what may seem intimidating, especially for social science and humanities students: tackling a research project in 12 short weeks. The internship was an invaluable experience for my intellectual and professional development.\"<\/em> - Penny Trieu<\/h3>\r\n<h3><em>\"Henry [Cohn] was an exceptional mentor; besides all the math I learned from him, during my time in the lab I could witness how passionate and original he is with his work, both qualities that I aspire to keep for my own research career. I am very thankful I had the privilege to meet so many smart and kind people during my internship.\"<\/em> - Kim Villalobos Carballo<\/h3>\r\n\r\n<hr \/>\r\n\r\n&nbsp;"},{"id":1,"name":"Past Events","content":"[accordion]\r\n\r\n[panel header=\"2019\"]\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/new-england-machine-learning-day-2019\/\">Machine Learning Day 2019<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0May 10, 2019\r\n\r\nThe eighth annual New England Machine Learning Day was held on Friday, May 10, 2019, at Northeastern University, in Boston, Massachusetts. The event brought together local academics and researchers in Machine Learning, Artificial Intelligence, and their applications.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"2018\"]\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/msrne-10th-anniversary-symposium\/\">Microsoft Research New England 10th Anniversary Symposium<\/a>\r\n\r\nMicrosoft New England Research and Development Center, Cambridge, MA | October 11, 2018\r\n\r\nSince its founding in 2008, the New England lab builds on Microsoft\u2019s commitment to collaborate with the broader research community and pursues new, interdisciplinary areas of research that bring together core computer scientists and social scientists to understand, model, and enable computing and online experiences of the future.\r\n\r\nTo mark the 10th anniversary of Microsoft Research New England, a one-day symposium was held, which comprised of themed panels focused on mathematics and theory, economics, big data and machine learning, fairness, and social platforms. During this event, we welcomed researchers, faculty, and students from the academic community to discuss the future and advancing the state of the art.\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/charles-river-lecture-series\/\">2018 Charles River Lectures on Probability Theory and Related Topics<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA | October 12, 2018\r\n\r\nJointly organized by Harvard University, Massachusetts Institute of Technology, and Microsoft Research New England, the Charles River Lectures on Probability and Related Topics is a one-day event for the benefit of the greater Boston area mathematics community.\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/new-england-machine-learning-day-2018\/\">Machine Learning Day 2018<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0May 07, 2018\r\n\r\nThe seventh annual New England Machine Learning Day was held on Monday, May 07, 2018, at Microsoft Research New England, in Cambridge, Massachusetts. The event brought together local academics and researchers in Machine Learning, Artificial Intelligence, and their applications.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"2017\"]\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/match-up-2017\/\">MATCH-UP 2017<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0April 20-21, 2017\r\n\r\nMATCH-UP 2017 was the fourth workshop in an <a href=\"http:\/\/www.optimalmatching.com\/MATCHUP\/\">interdisciplinary and international workshop series<\/a> on matching under preferences.\r\n\r\nMatching problems with preferences occur in widespread applications such as the assignment of school-leavers to universities, junior doctors to hospitals, students to campus housing, children to schools, kidney transplant patients to donors and so on. The common thread is that individuals have preference lists over the possible outcomes and the task is to find a matching of the participants that is in some sense optimal with respect to these preferences.\r\n\r\nThe remit of the workshop is to explore matching problems with preferences from the perspective of algorithms and complexity, discrete mathematics, combinatorial optimization, game theory, mechanism design and economics, and thus a key objective is to bring together the research communities of the related areas.\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/new-england-machine-learning-day-2017\/\">Machine Learning Day 2017<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0May 12, 2017\r\n\r\nThe sixth annual New England Machine Learning Day was held on\u00a0Friday, May 12, 2017, at Microsoft Research New England, in Cambridge, Massachusetts. The event brought together local academics and researchers in Machine Learning, Artificial Intelligence, and their applications.\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/cabi-2017\/\">Computational Aspects of Biological Information 2017<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0October 13, 2017\r\n\r\nComputational Aspects of Biological Information (CABI) 2017 was the fifth one-day workshop on challenges and successes in computational biology and brought together experts in the Boston\/Cambridge area to discuss computational solutions to problems in biology, including systems biology, genomics, and related areas.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"2016\"]\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/computational-aspects-biological-information-2016\/\">Computational Aspects of Biological Information 2016<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0November 2016\r\n\r\nComputational Aspects of Biological Information (CABI) 2016 was the fourth one-day workshop on challenges and successes in computational biology and brought together experts in the Boston\/Cambridge area to discuss computational solutions to problems in biology, including systems biology, genomics, and related areas.\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/workshop-local-algorithms\/\">Workshop on Local Algorithms<\/a>\r\n\r\nMicrosoft Research New England and MIT, Cambridge, MA |\u00a0October 2016\r\n\r\nThe Workshop on Local Algorithms (WoLA)\u00a0was the first in its series, and\u00a0featured longer talks that, in part, survey approaches by various communities, as well as short, focused talks on recent, exciting results.\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/new-england-machine-learning-day-2016\/\">New England Machine Learning Day 2016<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0May 2016\r\n\r\nThe fifth annual New England Machine Learning Day was held on Friday, May 6th, 2016, at Microsoft Research New England. The event brought together local academics and researchers in machine learning and its applications.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"2015\"]\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/computational-aspects-biological-information-2015\/\">Computational Aspects of Biological Information 2015<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0December 2015\r\n\r\nComputational Aspects of Biological Information (CABI) 2015 was the third one-day workshop on challenges and successes in computational biology and brought together experts in the Boston\/Cambridge area to discuss computational solutions to problems in biology, including systems biology, genomics, and related areas.\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/2015-charles-river-lectures-probability-theory-related-topics\/\">2015 Charles River Lectures on Probability Theory and Related Topics<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0October 2015\r\n\r\nJointly organized by Harvard University, Massachusetts Institute of Technology, and Microsoft Research New England, the Charles River Lectures on Probability and Related Topics is a one-day event for the benefit of the greater Boston area mathematics community.\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/designing-digital-economy\/\">Designing the Digital Economy<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0October 2015\r\n\r\nDesigning the Digital Economy (DDE) is a day-and-a-half long conference bringing leading economists to Microsoft Research New England\u2019s interdisciplinary economics research environment to discuss the new market designs technology is enabling.\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/mit-msr-machine-learning-seminar\/\">MIT-MSR Machine Learning Seminar<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0October 2015\r\n\r\nThe MIT-MSR ML Seminar is a seminar series highlighting recent advances in Machine Learning that meets roughly once per month. Local and visiting researchers will speak about their work. The agenda typically consists of a prepared presentation, followed by a period of questions and discussion. The seminar is aimed at an audience of machine learning researchers and graduate students.\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/new-england-machine-learning-day-2015\/\">New England Machine Learning Day 2015<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0May 2015\r\n\r\nThe fourth annual New England Machine Learning Day was held on Monday, May 18th, 2015, at Microsoft Research New England. The event brought together local academics and researchers in machine learning and its applications.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"2014\"]\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/computational-biology-seminar-series\/\">Computational Biology Seminar Series<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0June 2014\r\n\r\nAn occasional forum for delivering academic computational biology talks. All talks are open to the public.\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/lampsonfest\/\">LampsonFest<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0February 2014\r\n\r\nOn February 13, 2014, we celebrated Butler Lampson\u2019s 70 years with a day of exciting talks revisiting the history of computer systems and talking about issues of current concern. Butler spent many years, at Xerox PARC, at DEC, and now at Microsoft, transforming computer systems. His vision led to the first personal computer, to Internet protocols, to modern text processing systems and much more. He has won numerous awards for his work including the Turing Award in 1992.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"2013\"]\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/computational-aspects-biological-information-2013\/\">Computational Aspects of Biological Information 2013<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0December 2013\r\n\r\nComputational Aspects of Biological Information (CABI) 2013 is a one day workshop on challenges in computational biology. CABI 2013 will be held at Microsoft Research New England on December 16, 2013 and will bring together experts in the Boston\/Cambridge area to discuss computational solutions to problems in systems biology, genomics, and related areas.\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/msrne-5th-anniversary-symposium-2\/\">MSRNE 5th Anniversary Symposium<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0October 2013\r\n\r\nSince its founding in 2008, Microsoft Research New England has pursued new, interdisciplinary areas of research that bring together traditional mathematical sciences, such as theoretical computer science, machine learning, physics, and mathematics itself, with other sciences, including social sciences such as empirical economics, sociology, and psychology, and the biological and biomedical sciences.\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/new-england-machine-learning-day-2013\/\">New England Machine Learning Day 2013<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0May 2013\r\n\r\nThe second New England Machine Learning Day was held May 1st, 2013, at Microsoft Research New England. The event\u00a0brought together local academics and researchers in machine learning and its applications.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"2012\"]\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/charles-river-lectures-probability-related-topics\/\">Charles River Lectures on Probability and Related Topics<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA | October 2012\r\n\r\nJointly organized by Harvard University, Massachusetts Institute of Technology, and Microsoft Research New England, the Charles River Lectures on Probability and Related Topics, is a one-day event for the benefit of the greater Boston area mathematics community.\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/predicting-understanding-2012-election\/\">Predicting and Understanding the 2012 Election<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0October 2012\r\n\r\nA academic lectures of broad interest, in which David Rothschild discusses that for over 75 years, forecasting of elections has been static; ask a random sample of representative group of voters who they would vote for if the election were held today and report the poll result?\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/new-england-machine-learning-day-2012\/\">New England Machine Learning Day 2012<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA | May 2012\r\n\r\nThe first New England Machine Learning Day was held May 16, 2012, at Microsoft Research New England. The event brought together local academics and researchers in machine learning and its applications.\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/orcid-outreach-meeting-may-2012\/\">ORCID Outreach Meeting May 2012<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0May 2012\r\n\r\nName ambiquity and attrition are persistent, critical problems embedded in the scholarly research ecosystem. The Open Researcher &amp; Contributor ID (ORCID) initiative represents a community effort to establish an open, independent registry that is adopted and embraced as the industry\u2019s de facto standard.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"2011\"]\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/soc-digital-mixer\/\">Soc.Digital Mixer<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA | May 2011\r\n\r\nThe Soc.Digital Mixer aims to connect scholars researching digital media communication and information technologies, particularly those studying social media from a qualitative perspective.\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/soc-digital-grad-student-meetup\/\">Soc.Digital Grad Student Meetup<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA | May 2011\r\n\r\nMicrosoft Research New England\u2019s Social Media Research Collective cordially invites digital media students in town for the International Communication Association Meetings to join us for an informal evening of conversation and collaboration.\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/hot-apps-queering-locationmobilizing-media-design\/\">Hot Apps: Queering Location\/Mobilizing Media Design<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA | April 2011\r\n\r\nA Workshop Sponsored by the Social Media Collective @ Microsoft Research New England organized to think about what it means to \u201cqueer\u201d the spatial and technological assumptions embedded in the industry shift toward mobile digital networks.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"2010\"]\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/computational-aspects-biological-information-2010\/\">Computational Aspects of Biological Information 2010<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA | December 2010\r\n\r\nComputational Aspects of Biological Information (C.A.B.I. 2010) is a one day workshop on challenges in computational biology. C.A.B.I. 2010 will be held at Microsoft Research New England on December 9, 2010 and will\u00a0bring together experts in the Boston\/Cambridge area to discuss computational and modeling challenges in biology with a focus on systems biology, phylogeny and neuroscience. The workshop is open to everyone and registration is free of charge.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"2008\"]\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-research-new-england-opening\/\">Microsoft Research New England Opening<\/a>\r\n\r\nMicrosoft Research New England, Cambridge, MA |\u00a0September 2008\r\n\r\nMicrosoft Research New England is Microsoft\u2019s sixth basic research lab worldwide, pursues interdisciplinary collaborations between core computer scientists and social scientists to explore how computing and online experiences will evolve. The lab\u2019s opening symposium, held September 22, 2008, inaugurated a long-term partnership with institutions in a uniquely dynamic research environment\r\n\r\n[\/panel]\r\n\r\n[\/accordion]"}],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-lab\/199563","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-lab"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-research-lab"}],"version-history":[{"count":52,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-lab\/199563\/revisions"}],"predecessor-version":[{"id":1149056,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-lab\/199563\/revisions\/1149056"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/634464"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=199563"}],"wp:term":[{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=199563"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}